DATA SCIENTIST (CI POLYGRAPH REQUIRED)

NorthHill Technology; Reston (VA); On-site; USD 95,000 - 140,000; Full time

Job summary

DIA in Reston, Virginia seeks a Data Scientist to drive strategic decision-making through advanced analytics and AI workflow development. The role focuses on turning analyses into actionable guidance for capability development and operational efficiency.

You will collaborate with intelligence analysts, program managers, and technical experts to create models, dashboards, and tools that support leadership decisions while ensuring compliance and explainability.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, AIML, or related STEM field.
• Experience collaborating with intelligence analysts, program managers, and technical experts.
• Strong communication skills for briefings and leadership-facing reports.

Responsibilities

• Advanced Analytics and Capabilities Development: apply statistical methods, ML, and visualization to support capabilities development.
• Requirements Management: develop analytical frameworks and dashboards for leadership visibility and traceability of requirements.
• Quality Assurance: establish testing, validate model outputs, ensure data integrity and reliability.
• AI Workflow Implementation: design and implement AI workflows, evaluate emerging AI technologies, ensure explainable, auditable, compliant systems.

Skills

Advanced analytics

Requirements management

Quality assurance

AI workflow implementation

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, AIML, or related STEM field

Job description

Overview

The Data Scientist position supports DIA's Command Element by serving as a technical expert focused on strategic decision-making through advanced analytics, requirements management, quality assurance, and AI workflow development.

Primary Responsibilities

• Advanced Analytics and Capabilities Development: The data scientist applies statistical methods, machine learning techniques, and data visualization to support capabilities development initiatives. This involves analyzing complex datasets to identify capability gaps, inform resource allocation decisions, and provide quantitative assessments. The position requires translating analytical findings into actionable recommendations that shape DIA's future operational capabilities.


• Requirements Management: The role involves developing and maintaining analytical frameworks to ensure requirements are traceable, measurable, and aligned with strategic objectives. This includes creating data models that capture relationships between user needs, capability requirements, and technical specifications, as well as building dashboards and reporting tools for leadership visibility.


• Quality Assurance: The data scientist establishes testing protocols, validates model outputs, assesses data integrity, and ensures analytical tools meet accuracy and reliability standards. This includes conducting sensitivity analyses, documenting assumptions and limitations, and recommending improvements to existing methodologies.


• AI Workflow Implementation: A critical aspect involves designing and implementing AI workflows that automate routine analytical tasks and enhance decision-making processes. The data scientist evaluates emerging AI technologies for applicability to DIA missions, develops prototypes, and provides technical guidance on responsible AI adoption while ensuring systems are explainable, auditable, and compliant with relevant policies.

Key Requirements

The position requires extensive collaboration across cross-functional teams including intelligence analysts, program managers, acquisition professionals, and technical experts. Strong communication skills are essential for translating complex technical concepts into clear briefings, written reports, and visual presentations for senior leadership. Additional expectations include mentoring junior analysts, maintaining awareness of emerging analytical techniques, and representing the Command Element in technical working groups and interagency forums. A Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, AIML, or another related STEM field is required.